A spatiotemporal dataset for integrated assessment and modelling of crop-livestock integration with the MAELIA simulation platform

Data in Brief

Christian Bockstaller¹  Olivier Therond¹  Didier Stilmant²  Frederique Angevin²  Jean Villerd²  Renaud Misslin³  Michael Curran³  Antoine Messean³  Emmanuel Mérot⁴  Paul Vanhove⁵  Florence Van Stappen⁶  Jérémy Berthomier⁶  Maurice Miara⁶  Rui Catarino⁶ 

[1] Corresponding authors.;Centre Wallon de Recherches Agronomiques, CRA-W, 9 Rue de Liroux, 5030 Gembloux, Belgium;Chambre d'agriculture Pays de la Loire, GEDA de Pouzauges/La Chataigneraie, France;Department of Socio-Economic Sciences, FiBL, Frick, Switzerland;INRAE, Eco-Innov, F-78850 Thiverval, Grignon, France;Université de Lorraine, INRAE, LAE, 28 Rue de Herrlisheim, F-68000 Colmar, France;

关键词: Agroecological transition;    Decision support system;    Multi-criteria analysis;    Participatory design;    Agent-based modelling;    Social-ecological system;   

DOI  :  

来源: DOAJ

【 摘 要 】

The general purpose of the primary and secondary data available in this article is to support an integrated assessment of scenarios of crop-livestock integration at the territorial level i.e. of exchanges between arable and livestock farms. The data is a result of a research collaboration between the scientist from INRAE, agricultural advisers from Chamber of Agriculture of Pays de la Loire (CRAPL) and a collective of five arable and two livestock farmers located in the district of Pays de Pouzauges (Vendée department, western France). All participants formed part of the DiverIMPACTS project (https://www.diverimpacts.net/) that aims to achieve the full potential of diversification of cropping systems for improved productivity, delivery of ecosystem services and resource-efficient and sustainable value chains in Europe. The first dataset corresponds to the inputs of MAELIA (http://maelia-platform.inra.fr/), a spatial agent-based simulation platform that was used to support an iterative design and assessment of scenarios to redesign cropping systems. The second dataset corresponds to the outputs of MAELIA simulations and the associated indicators at the farm, group and territory level. The data comprise multiple shape and csv files characterizing the edaphic-climatic heterogeneity of the territory and cropping systems, farmers’ crop management rules (IF-THEN rules) and general information about the farms (e.g. crops, agricultural equipment, average crop yields). Data is reported for the baseline situation and three exchange scenarios containing different innovative cropping systems co-designed by scientists, agricultural advisers and the farmers. The data presented here can be found in the Portail Data INRA repository (https://doi.org/10.15454/3ZTCF5) and were used in the research article “Fostering local crop-livestock integration via legume exchanges using an innovative integrated assessment and modelling approach: MAELIA” [1].

【 授权许可】

Unknown